Factorial Plots
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Stat > Regression > Binary Logistic Regression > Factorial Plots

Use to display the main effects and interaction effects for a model. These plots can illustrate how a response variable relates to one or more variables. You can produce two types of factorial plots.

·    Use a main effects plot to compare fitted probabilities for one or more variables.

·    Use an interaction plot to assess the effects of one variable on another variable.

Although you can use these plots to display the effects, be sure to evaluate significance by looking at the effects in the analysis of deviance table.

See Stored Model Overview for a discussion about how to use stored models.

Dialog box items

Response: Choose a response variable from the drop-down list.

Variables to Include in Plots Use the arrow buttons to move variables from one list to the other. Select a variable in one of the lists, then click an arrow button. The double arrows move all the variables in one list to the other. You can also move a variable by double-clicking. If an expected variable does not appear in either list, that variable was not included in the model.

Available: Lists all variables in your model that can be included in the plot(s).

Selected: Lists all variables that will be included in the plot(s). You can have up to 50 variables in the Selected list.

Terms to display:

Only model terms: Choose to display plots only for the terms that are specified in the model. All plots display the fitted values.

All terms: Choose to display plots for all terms that include variables that are specified in the model. Plots for terms that are not in the model display the data values.

For example, assume that a model specifies Categorical 1 and Categorical 2 but not the two-way interaction. If you choose Only model terms, the interaction is not displayed. However, if you choose All terms, the interaction plot for Categorical 1*Categorical 2 is displayed because both terms are specified in the model as main effects.

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